Automation and Remote Control

, Volume 62, Issue 3, pp 430–442 | Cite as

Polynomial Design of Optimal Sampled-Data Tracking Systems: II. Robust Optimization

  • K. Yu. Polyakov


A direct method for robust sampled-data tracking systems design is presented. The method is based on the use of Laplace transformation in continuous time and polynomial equation theory. A criterion is proposed for robust optimization of sampled-data tracking systems. The structure of the optimal robust controller transfer function is investigated and its order is determined explicitly. The relations between robust and quadratic optimization problems are established. A mixed optimization problem is considered, when the cost function includes the integral quadratic error and a robustness term.


Cost Function Transfer Function Continuous Time Polynomial Equation Robust Optimization 
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© MAIK “Nauka/Interperiodica” 2001

Authors and Affiliations

  • K. Yu. Polyakov
    • 1
  1. 1.The State Marine Technical UniversitySt. PetersburgRussia

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